SE 504 Model-Based Systems Engineering

This course provides an in-depth understanding of Model-Based Systems Engineering principles, methods, and tools. System complexity is continually increasing, demanding more rigorous approaches to modeling. Document-based approaches become cumbersome with large-scale systems, and a model-based approach helps to manage complexity better, improve quality, and lower cycle time. This course addresses modeling of the system description as well as its functions using Systems Modeling Language. This formal modeling language supports all aspects of the systems engineering process from specification through verification and is applicable across a broad range of industries. Students will learn to develop and utilize models to represent, analyze, and model complex systems, enabling effective systems engineering practices. Topics include modeling languages, model representation, requirements analysis, system architecture, verification and validation, and integration with system development.

Students are required to undertake an independent research project related to MBSE, exploring advanced topics, emerging methodologies, or applications specific to their area of interest within systems engineering. This project may encompass the creation of an innovative modeling approach, the execution of a case study, or an exploration of the integration of MBSE with cutting-edge technologies. Students will explore and utilize advanced MBSE tools, which may include exposure to industry-standard tools used in prominent companies in Connecticut.